savePressed

shape

maxerror

The instance value of the maximum tolerance (MAXERROR) allowed in calculating the
length of the curve segments of this ROI's shape.

flatness

double flatness

The instance value of the coefficient (FLATNESS) used to
obtain a flattened version of this ROI's shape.

maxPoly

int maxPoly

The instance value of MAXPOLY.

flatten

boolean flatten

If true then methods that manipulate this ROI's shape will work on
a flattened version of the shape.

forceTrace

boolean forceTrace

Flag which specifies how Roi objects will be constructed from closed (sub)paths having more than
MAXPOLY and composed exclusively of line segments.
If true then (sub)path will be parsed into a
Roi.TRACED_ROI; else, into a Roi.FREEROI.

forceAngle

boolean forceAngle

Flag which specifies if Roi objects constructed from open (sub)paths composed of only two line segments
will be of type Roi.ANGLE.
If true then (sub)path will be parsed into a Roi.ANGLE;
else, into a Roi.POLYLINE.

t2

double[] t2

Temporaries that may be used in the conversion.
The use of these temporaries makes the Trasnformer classes non Thread safe.
These temporaries are used rather than creating new arrays for
multiple invocations.

totalCount

nImage

inputs

output

source

int[] source

The array giving the source image for each pixel in the input image.
Note that we don't care about the actual source images -- we already
have the pixel values. We just want to locate where the edges are
and know how to group the pixels for later adjustments.

totalCount

nImage

inputs

output

source

int[] source

The array giving the source image for each pixel in the input image.
Note that we don't care about the actual source images -- we already
have the pixel values. We just want to locate where the edges are
and know how to group the pixels for later adjustments.

nImage

rImage

inputs

output

source

int[] source

The array giving the source image for each pixel in the input image.
Note that we don't care about the actual source images -- we already
have the pixel values. We just want to locate where the edges are
and know how to group the pixels for later adjustments.

nx

int nx

The dimesions of the image

ny

int ny

offsets

double[] offsets

The additive adjustment to be made to the image.

realImage

int[] realImage

The index of the real image corresponding to the tile
in the inputs array.